Pollution prediction methodology for site impact/risk assessment using rough set thory

The paper presents the methodology for environmental risk assessment using RST that analysis the probability and the gravity of consequences of exposure of natural environmental components (air, surface water, soil, sub-soil, ground water) when the hazard of significant pollution act on them considered as targets. The basic elements of the RST are presented in relation with their potential use in environmental impact/risk assessment for the continual improvement of the environmental performance to any organization.
The new proposed methodology for site environmental impact/risk assessment brings a new RST based decision table with a set of certain and transparent decision rules in order to conform the current environmental legislation and to allow classification of possible environmental pollution states in the analyzed site named observations/events in nine risk classes scored increasingly from 1 to 9. Each risk class is characterized in order to be user friendly in practical cases where this decision table can serve as reference.